Senior Machine Learning Engineer

Sowelo Consulting sp. z o.o. sp. k.

. Design and build core machine learning systems for a proactive AI platform .

Posted 9/18/2026full-timeRemote • LithuaniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building machine learning systems, with a strong focus on deploying and maintaining production-grade models. Capable of mentoring engineers and driving complex technical initiatives while optimizing model architectures for performance and reliability.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingPyTorch or JAX ExperienceGPU-Based Training and InferenceProduction Code Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel TrainingModel EvaluationData CurationModel InferenceProduction SystemsArchitectural MindsetPerformance Metrics AnalysisTroubleshootingIterative Feedback Loops

Soft Skills

Self-DirectionInitiativeTechnical CommunicationMentoringCollaboration

Industry Keywords

AI PlatformProduction Failure ModesModel AnomaliesLatency OptimizationComputational CostReliabilitySafety at Scale

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Design and build core machine learning systems for a proactive AI platform
Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
Translate cutting-edge research concepts into robust, reliable production systems
Use live production signals and data to troubleshoot model anomalies and system bottlenecks
Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
Partner with research, engineering, and product teams to deliver user value
Mentor fellow engineers and conduct rigorous reviews
Set a high standard for technical judgment through hands-on execution
Optimize model architectures for latency, computational cost, reliability, and safety at scale

Requirements

What you’ll need

Minimum of 5 years of experience in a Machine Learning role
Experience with Python, PyTorch or JAX, and GPU-based training and inference systems
Demonstrated experience building, deploying, and maintaining machine learning systems used in real-world environments
Strong practical understanding of modern ML model behavior and production failure modes
Ability to mitigate production edge cases
Track record of writing clean, robust, production-grade code with an architectural mindset
High degree of self-direction and initiative
Proven ability to independently drive complex technical initiatives from concept to launch
Ability to rapidly absorb new concepts
Ability to communicate technical trade-offs clearly
Ability to continuously improve code and systems through iterative feedback loops

Benefits

Comp & perks

Fully remote work
Significant equity
High compensation flexibility
Strong ownership and visible impact
Opportunity to work with a small founding team on a greenfield AI email product
Collaboration with high-caliber engineers from top tech companies
Very high technical bar